Everything you can do with AI Assistants
Last updated: April 30, 2026
AI that works with your team — drafting replies, surfacing context, and automating the work in between.
In this guide, you will learn how to:
Respond to customers faster with AI-assisted responses
See the full picture across every issue and account
Keep your knowledge base current and comprehensive
Route and triage issues intelligently
Turn customer feature request into product decisions
Catch problems before customers feel them
Support customers in any language
Whether you're a frontline rep, a team lead, or a support manager — AI Assistants have something for you.
1. Reply to customers faster with AI-assisted responses
AI Assistants can help you draft faster replies, get up to speed instantly, and find the right answer without leaving the issue page.
Message Copilot — Draft a response, adjust the tone, or translate a reply from inside the issue. You get a solid first draft you can refine and send in seconds.
Ask AI: Issue — Ask questions in the issue sidebar and get an answer right there, without tab-switching or searching.
AI Issue Suggestions — Surface related issues and relevant docs to help solve an issue. Less searching on your end.
Issue Summaries — Get an always up-to-date summary of what's happened. No more reading through long threads before responding or handing off.
Cursor Integration — Pull in answers from your product's codebase to handle technical questions, without needing to ping engineering.
MCP Connection — Connect external systems (Notion, Linear, Github, etc) to pull in third-party context into Message and Issue Copilot. Available on all plans. AI Assistant unlocks unlimited queries.
In practice: You receive a complex technical question. You open the Cursor integration, ask AI to confirm the product behavior, and draft a clear reply — all without leaving the issue page.
2. See the full picture across every issue and account
Individual issues tell you what one customer is experiencing. AI Assistant helps you see the full picture — so your team and your cross-functional partners can make smarter decisions.
Ask AI — Ask questions across all your issue and account data in Pylon. "What are the most common complaints this month?" or "Which accounts have had the most escalations?"
AI Reports — Get proactive digests delivered straight to Slack. Weekly report, top feature requests, escalated issues — sent on a schedule.
In practice:
A CSM is prepping for an upcoming customer call and asks Ask AI: "Summarize how customer is using the product?" — and gets an instant summary in seconds, no issue-digging required.
AI Reports can do the heavy lifting overnight, automatically sending a Slack digest of the week's top escalations so CSMs walk into every customer call knowing where things stand.
3. Keep your knowledge base current and comprehensive
Knowledge base is only useful if it's accurate and complete. AI Assistants handle the time-consuming parts of drafting so your team can focus on reviewing content that matters.
AI Article Generation — When your team resolves an issue, that knowledge shouldn't stay buried in an issue. AI Article Generation turns resolved issues into draft knowledge base articles automatically, so your docs grow with your product.
Common Topics & Knowledge Gaps — See exactly what customers are asking most and identify which questions your knowledge base doesn't yet answer. Instead of guessing what to write next, you'll know.
Knowledge Base Copilot — Need to update an article or refine the wording? Knowledge Base Copilot helps you iterate and polish content quickly.
Unlimited Training Data — Connect your knowledge base, any publicly accessible URL, or upload files to make sure AI Assistants are always working with accurate, up-to-date information.
In practice: After closing a tricky issue about an integration, you click into AI Article Generation - a draft article appears in seconds, ready to review and publish in minutes via Knowledge Base Copilot — so your team has the answer ready the next time a customer asks.
4. Route and triage issues intelligently
Manual triage is slow and inconsistent. AI Assistant helps your team route issues intelligently and keep data clean.
AI Trigger Conditions — Route issues based on what a customer actually means, not just the words they used. Use AI conditions in the "IF" block of your triggers to route by intent, sentiment, or topic.
AI Issue Autofill and Suggestion — Automatically populate issue field values as questions come in, so your data stays clean and reportable without reps doing it manually.
In practice: A customer writes in about a billing charge. AI Trigger Conditions routes it to the billing team. AI Autofill tags the issue type and priority — before any rep opens it.
5. Turn customer feature request into product decisions
Your customers are telling you what they need — the problem is it's buried in issue threads.
Product Intelligence (Feature Requests) — Automatically extracts and organizes that feedback so nothing gets lost and your product team can actually act on it.
In practice: When it's time for the monthly product sync, Product Intelligence surfaces the most-requested features across a CSM's book of business, ranked by revenue impact — so they walk into that meeting with a concrete, data-backed case for prioritization, not just anecdotes from their loudest accounts.
6. Catch problems before customers feel them
By the time your team notices a problem manually, customers are already frustrated. AI Assistants help you detect and address issues in real time — before they become outages or quality crises.
Issue Anomaly Detection — When an unusual spike in issue volume hits, AI detects it in real time and alerts your team. Whether it's a product bug, an outage, or a confusing new feature — you'll know before it becomes a fire.
AI Issue QA — Maintaining consistency across your support team is hard to do manually. AI Issue QA reviews responses against your own rubrics at scale, giving managers visibility into quality without having to spot-check every issue.
In practice: At 2pm on a Tuesday, issue volume triples. Issue Anomaly Detection flags the spike immediately, your on-call engineer is notified, and the team identifies a broken checkout flow — 45 minutes before it would have shown up in a dashboard report.
7. Support customers in any language
Language shouldn't be a barrier to great support — and it shouldn't require you to hire multilingual staff or maintain separate article sets.
Issue Autotranslation — Reps work in their native language while customers receive responses in theirs, automatically.
Knowledge Base Auto-translation — Keep help articles up-to-date in multiple languages without maintaining separate versions. When you update the source, translations stay in sync.
In practice: A customer in France writes in with a billing question — in French. Your English-speaking agent reads it in English, responds in English, and the customer receives the reply in French. Neither side had to do anything differently.
ROI of AI Assistants
AI Assistants isn't just about efficiency and automation — they directly move the metrics that matter most to support teams and businesses. Customers using AI Assistants have seen:
Faster first response times — less time searching and drafting, more time resolving
Faster resolution times — the right context, surfaced at the right moment
More business growth per headcount — scale your support without scaling your team
Higher CSAT — faster and more consistent responses at every touchpoint
How Sardine cut first response time by 90%
Sardine is a real-time AI fraud and compliance platform supporting major enterprises like FIS, GoDaddy, and Coinbase. As they scaled fast, they chose Pylon to unify their operations and bring AI into their support workflow — without growing their team.
90% decrease in first response time — from 35 minutes to under 3.5 minutes
~35% reduction in manual support hours, despite a 25% increase in ticket volume
6x company growth supported by the same team size